Related skills
azure aws kubernetes gcp observability📋 Description
- Design, build, and own platform services for app lifecycle, distribution, and runtime
- Architect enterprise-grade, scalable, multi-tenant systems
- Lead end-to-end initiatives from design to rollout and ownership
- Build cloud-native infrastructure on Kubernetes across AWS and GCP
- Solve distributed systems: isolation, tenant-aware scaling, fault tolerance
- Partner with App Runtime, Distribution, Product, and Infra teams for decisions
🎯 Requirements
- 8+ years building and operating large-scale backend or platform systems
- Kubernetes, containerization, and orchestration in production
- Cloud infra (AWS, GCP, or Azure): networking, compute, storage, security
- Designing systems with high availability, fault tolerance, observability
- Reliability, automation, self-service, and developer experience
- AI-native mindset: non-deterministic workloads, automation, feedback loops
- Staff+ level: own ambiguous problems and influence across teams
🎁 Benefits
- Ownership from Day One: own impactful projects
- Limitless opportunities for growth
- Global data community, open-source projects, meet-ups
- Equal opportunity employer and inclusive culture
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!